Institutt for økonomi og it: Recent submissions
Now showing items 61-80 of 157
-
Residents’ perception of cultural heritage in terms of job creation and overtourism in Europe
(Journal article; Peer reviewed, 2020)In 2017, about 45% of the European population believed that cultural heritage has a positive effect on the local economy and that there are not too many tourists. However, about 33% of Europeans consider the number of ... -
Evaluation criteria versus firm characteristics as determinants of public R&D funding
(Journal article; Peer reviewed, 2020)This study provides new empirical evidence regarding the relevance of evaluation criteria and firm characteristics for public R&D funding decisions. The database used contains both accepted and rejected R&D project proposals, ... -
20 Years of Nordic tourism economics research: a review and future research agenda
(Journal article; Peer reviewed, 2020)The number of economics-related articles in the Scandinavian Journal of Hospitality and Tourism (SJHT) has recently increased considerably. Despite this increase, the research efforts of Nordic economists on tourism issues ... -
Effects of price model copycats in the ski industry
(Peer reviewed; Journal article, 2020)This article investigates the impact of the introduction of a greatly reduced seasonal ski pass for overnight stays in winter destinations. The analysis covers 59 winter sports destinations in Switzerland for the winter ... -
Place-based entrepreneurs and their competitiveness: a relational perspective on small regional banks
(Peer reviewed; Journal article, 2020)This paper focuses on place-based entrepreneurs as regionally anchored companies that rely on regional resources to generate a sustained competitive advantage, but are increasingly challenged by a seemingly placeless and ... -
A Novel Application of League Championship Optimization (LCA): Hybridizing Fuzzy Logic for Soil Compression Coefficient Analysis
(Peer reviewed; Journal article, 2020)Employing league championship optimization (LCA) technique for adjusting the membership function parameters of the adaptive neuro-fuzzy inference system (ANFIS) is the focal objective of the present study. The mentioned ... -
GIS-Based Mapping of Seismic Parameters for the Pyrenees
(Peer reviewed; Journal article, 2020)In the present paper, three of the main seismic parameters, maximum magnitude -Mmax, b-value, and annual rate -AR, have been studied for the Pyrenees range in southwest Europe by a Geographic Information System (GIS). The ... -
A New Modeling Approach for Spatial Prediction of Flash Flood with Biogeography Optimized CHAID Tree Ensemble and Remote Sensing Data
(Peer reviewed; Journal article, 2020)Flash floods induced by torrential rainfalls are considered one of the most dangerous natural hazards, due to their sudden occurrence and high magnitudes, which may cause huge damage to people and properties. This study ... -
A Comparative Study of Kernel Logistic Regression, Radial Basis Function Classifier, Multinomial Naïve Bayes, and Logistic Model Tree for Flash Flood Susceptibility Mapping
(Peer reviewed; Journal article, 2020)Risk of flash floods is currently an important problem in many parts of Vietnam. In this study, we used four machine-learning methods, namely Kernel Logistic Regression (KLR), Radial Basis Function Classifier (RBFC), ... -
SIoT Framework: Towards an Approach for Early Identification of Security Requirements for Internet-of-things Applications
(Peer reviewed; Journal article, 2020)Background: Security has become more of a concern with the wide deployment of Internet-of-things (IoT) devices. The importance of addressing security risks early in the development lifecycle before pushing to market cannot ... -
Spatial assessment of landslide risk using two novel integrations of neuro-fuzzy system and metaheuristic approaches; Ardabil Province, Iran
(Peer reviewed; Journal article, 2020)This article addresses the spatial analysis of landslide susceptibility in the Ardabil province of Iran. To this end, two well-known optimization algorithms, namely genetic algorithm (GA) and particle swarm optimization ... -
Coastal Wetland Classification with Deep U-Net Convolutional Networks and Sentinel-2 Imagery: A Case Study at the Tien Yen Estuary of Vietnam
(Peer reviewed; Journal article, 2020)The natural wetland areas in Vietnam, which are transition areas from inland and ocean, play a crucial role in minimizing coastal hazards; however, during the last two decades, about 64% of these areas have been converted ... -
Novel ensembles of deep learning neural network and statistical learning for flash-flood susceptibility mapping
(Peer reviewed; Journal article, 2020)This study aimed to assess flash-flood susceptibility using a new hybridization approach of Deep Neural Network (DNN), Analytical Hierarchy Process (AHP), and Frequency Ratio (FR). A catchment area in south-eastern Romania ... -
Development of novel hybridized models for urban flood susceptibility mapping
(Peer reviewed; Journal article, 2020)Floods in urban environments often result in loss of life and destruction of property, with many negative socio-economic effects. However, the application of most flood prediction models still remains challenging due to ... -
A New Hybrid Firefly–PSO Optimized Random Subspace Tree Intelligence for Torrential Rainfall-Induced Flash Flood Susceptible Mapping
(Peer reviewed; Journal article, 2020)Flash flood is one of the most dangerous natural phenomena because of its high magnitudes and sudden occurrence, resulting in huge damages for people and properties. Our work aims to propose a state-of-the-art model for ... -
Shuffled Frog Leaping Algorithm and Wind-Driven Optimization Technique Modified with Multilayer Perceptron
(Peer reviewed; Journal article, 2020)The prediction aptitude of an artificial neural network (ANN) is improved by incorporating two novel metaheuristic techniques, namely, the shuffled frog leaping algorithm (SFLA) and wind-driven optimization (WDO), for the ... -
Hotels benefit from stricter regulations on short-term rentals in European cities
(Peer reviewed; Journal article, 2020)The aim of this study is to examine whether the introduction of stricter rules on short-term rentals (STRs) in some European cities will have an impact on hotel overnight stays. The treatment group consists of cities with ... -
A Novel GIS-Based Random Forest Machine Algorithm for the Spatial Prediction of Shallow Landslide Susceptibility
(Peer reviewed; Journal article, 2020)This study developed and verified a new hybrid machine learning model, named random forest machine (RFM), for the spatial prediction of shallow landslides. RFM is a hybridization of two state-of-the-art machine learning ... -
Marine gravity anomaly mapping for the Gulf of Tonkin area (Vietnam) using Cryosat-2 and Saral/AltiKa satellite altimetry data
(Peer reviewed; Journal article, 2020)Marine gravity anomalies are essential data for determining coastal geoid, investigating tectonics and crustal structures, and offshore explorations. The objective of this study is to present a methodology for estimating ... -
Short-term hotel room price effects of sporting events
(Peer reviewed; Journal article, 2020)A difference-in-differences analysis is used to investigate the short-term price effects of eight sporting events in Finnish Lapland. Data consist of 220,000 room bookings from the reservation system of a nine-hotels chain. ...